Galician Podcast
Enhance your AI's Galician language skills with 86 hours of live podcast data. Perfect for Conversational AI, Text-to-Speech models and Emotion Detection and Sentiment Analysis applications.
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Leverage this dataset to:
Enhance your Speech Model's Training: Take your models to the next level. With 86 hours of live, high-quality, Galician podcast speech data, this dataset is the perfect resource for AI builders working with Conversational AI.
AI use cases:
Language Generation and Text-to-Speech (TTS): Train AI models to generate natural-sounding speech from text inputs or to convert written text into spoken audio using the podcast as reference data. This can be used to develop high-quality TTS systems for reading aloud text content, creating audiobooks, or enhancing accessibility features in digital platforms.
Language Modeling and Understanding: Train LLMs on the podcasts to develop models capable of understanding and generating natural language in the context of natural conversation. These LLMs can be fine-tuned on the specific vocabulary, style, and discourse patterns found in podcast transcripts.
Speech Recognition and Transcription: Train AI models to accurately transcribe spoken language audio from the podcast recordings into text. This can enable automatic transcription tools for indexing podcast content, facilitating searchability, and improving accessibility for the target-speaking audiences.
Emotion Detection and Sentiment Analysis: Train AI models to detect emotions and analyze sentiment expressed in the podcast audio. Emotion detection and sentiment analysis can provide valuable feedback on audience engagement, preferences, and reactions to podcast content, informing content creators and advertisers.
Technical Specifications
- Type: Audio
- Language: Galician
- Locale: (gl-ES)
- Quantity: 86 hours
- Data Type: Live Podcasts
- Transcription: Available as an additional service
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This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.